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SupportScope Support quality audit

Support Quality Audit · USD 69

One policy is generating 31 percent of your tickets

Ninety tickets scored against clarity, accuracy, ownership and resolution, with the root cause the scores kept pointing at.

Prepared for
Kelmarsh · e-commerce, 4 agents, 2,900 tickets a month
Reference
SU-6647-SQA
Issued
7 October 2026
Settlement
$CAREX · USDC on Base

Your team is good. Scored against four dimensions across ninety tickets, they are accurate, they take ownership and they are quick. The problem is that a third of the tickets should never have existed, and no amount of support quality fixes a policy that customers cannot understand.

Good team, bad policy

Agent quality scores 4.1 out of 5 and resolution accuracy is 94 percent. Thirty one percent of all contacts relate to the returns window, and 62 percent of those are repeat contacts from the same customer. This is a policy and page problem being absorbed by a support team.

90 Tickets scored
4.1 / 5 Agent quality score
31% Of tickets about one policy
62% Of those are repeat contacts
01

Scorecard

How the team is performing

Average score across 90 sampled tickets, out of 5
Ownership 4.6 Strongest
Accuracy 4.4
Tone 4.3
Clarity of the answer 3.8 Weakest, and mostly on returns tickets
Resolved first time 3.4 Drags the average. Section 02

Four of five dimensions are strong. First-time resolution is the outlier, and when the sample is split by topic it becomes clear that this is not evenly distributed across the team or across agents.

First-time resolution, by ticket topic
Share of ticketsResolved first timeRead
Returns window 31%38%The whole problem
Delivery tracking 22%89%Working well
Sizing and fit 16%91%Working well
Damaged on arrival 11%95%Working well
Payment and refunds 9%84%Acceptable
Everything else 11%92%Working well

Remove the returns tickets and first-time resolution across the rest of the queue is 90 percent. Your support team does not have a quality problem. It has one topic it cannot resolve, because the answer depends on a policy nobody can apply consistently.

02

Root cause

Why the returns window generates repeat contacts

The policy page says 30 days. The confirmation email says 30 days from delivery. The returns portal calculates from dispatch. Those are three different dates, and on a 6 day average delivery time they can differ by almost a week.

Where the customer reads itWhat it saysDate it implies for a 2 Sept order
Policy page 30 days to return Ambiguous
Order confirmation email 30 days from delivery 8 October
Dispatch email Not mentioned n/a
Returns portal Calculates silently from dispatch 3 October
Agent macro 14 30 days from delivery 8 October
Agent macro 22 30 days from order 2 October

Two macros in your own help desk state different rules. Agents are not being inconsistent; they are being consistent with whichever macro they picked, and the portal disagrees with both.

  1. Contact 1

    Customer is refused by the portal

    Portal says the window has closed. Customer believes they are inside it because the confirmation email said 30 days from delivery.

  2. Contact 2

    Agent applies macro 14 and grants it

    Correct under the email, contradicts the portal. Customer is happy. No record of why an exception was made.

  3. Contact 3

    Refund is shorter than expected

    Return shipping was deducted, which is on the policy page and in neither email. Second complaint, different topic, same customer.

  4. Result

    Three contacts, one order

    Scored individually each is handled well. Together they are a customer who contacted you three times about something a clear page would have answered once.

03

Macros

What is wrong in the canned responses

MacroIssueUsed in sampleAction
14, Returns window Says from delivery. Conflicts with the portal 21 times Rewrite
22, Returns window alt Says from order. Conflicts with macro 14 9 times Delete
07, Refund timing Says 3 to 5 days. Actual is 5 to 10 17 times Correct the number
31, Damaged item Asks for a photo the portal already collected 8 times Rewrite
03, Greeting References a discount code that expired in March 44 times Update
19, Escalation holding No timeframe given to the customer 6 times Add a timeframe

Macro 03 is in 44 of 90 sampled tickets and has referenced an expired code since March. That is roughly 1,400 customers a month being offered something that does not work.

04

Fixes

What to change, and what it is worth

  1. Today

    Fix macro 03

    One line. It is in half your tickets and it has been wrong for seven months. Ten minutes.

  2. This week

    Pick one returns rule and make everything say it

    From delivery is the kinder rule and the one your emails already promise. Change the portal calculation, delete macro 22, rewrite macro 14 and update the policy page. One decision, four places.

  3. This week

    Put the return shipping deduction in the confirmation email

    It is the third contact in section 02 and it is entirely avoidable. One sentence.

  4. Within a month

    Add the window date to the order confirmation

    Not the rule, the date. Returns accepted until 8 October. Removes the arithmetic and therefore removes the argument.

  5. After 6 weeks

    Re-sample 90 tickets

    Watch the returns share of contacts, not the quality score. If returns drops from 31 percent toward the low teens, this worked.

FixEffortExpected effect
Macro 03 10 min Removes a wrong promise from 1,400 contacts a month
One returns rule everywhere Half a day The largest item here
Shipping deduction in the email 15 min Removes a recurring second complaint
Window date in confirmation Dev work, small Removes the arithmetic entirely
Combined About a day Up to a fifth of all contacts

If returns contacts halve, your four agents absorb roughly 450 fewer tickets a month. That is capacity, not a headcount saving, and it is the argument for doing this before hiring a fifth agent.

SupportScope quality audit · confidential to the buyer · 7 October 2026 SupportScope · $CAREX
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